
FloydHub (@ycombinator W17) is a zero setup Deep Learning platform for training and deploying AI models.
San Francisco, CA
Joined February 2017
- Tweets445
- Following373
- Followers2.1K
- Likes503
Pinned Tweet
Meet @FloydHub_ - the fastest way to build, train, and deploy AI models. Sign up for free at floydhub.com: youtube.com/watch?v=FcsjqQ2Q…
We need better #NLP datasets now more than ever!
My latest @FloydHub_ blog is about #nlp datasets and how we measure #DeepLearning model performance. It talks about a great new benchmark by @seb_ruder et al at @GoogleAI called XTREME that will help immensely with this task blog.floydhub.com/nlp-datase…
FloydHub retweeted
A video dissection of the paper from FAIR on program translation from one language to another in an unsupervised manner:
arxiv.org/abs/2006.03511
This model learns, unsupervised, to translate code from Python to C++, including standard library calls and type inference! 👀 Watch this video to find out how!
youtu.be/xTzFJIknh7E
@MaLachaux @b_roziere @LowikChanussot @GuillaumeLample @facebookai
FloydHub retweeted
This is the first time in human history @NASA_Astronauts have entered the @Space_Station from a commercially-made spacecraft. @AstroBehnken and @Astro_Doug have finally arrived to the orbiting laboratory in @SpaceX's Dragon Endeavour spacecraft.
Hatch Opening
This is the first time in human history @NASA_Astronauts have entered the @Space_Station from a commercially-made spacecraft.
We took on the Cloud Setup Challenge... and we won🏆. Handily, if we do say so ourselves. We took @quaesita handle’s challenge and set up a Jupyter + TensorFlow work station in 44 SECONDS. Think you can beat us? 🔥 Share your results at #cloudchallenge!
blog.floydhub.com/cloud-setu…
FloydHub retweeted
Today, we are officially releasing the cloud-native 🔍neural search framework powered by state-of-the-art AI and deep learning today! It's time to think out of the [Text] box!
Unleash your curiosity and find out more by clicking below!👇
github.com/jina-ai/jina
FloydHub retweeted
After the recent post on text similarity search using pretrained LMs, I received lots of really good questions but one question that was common is when to use which NLP model.
Here is another impressive blog post by @cathalhoran on the topic.
blog.floydhub.com/when-the-b…
A new #humansofml interview, featuring @antoniogulli, is live, in which we discuss the role of intuition in data science, the future of cloud platforms, and whether humans actually know what intelligence is with a true pioneer in the field.
blog.floydhub.com/talking-ml…
FloydHub retweeted
Many companies struggle to get impact from machine learning projects, so @mikeloukides and I wrote this guide: "What you need to know about product management for AI" oreilly.com/radar/what-you-n…
There are 1000s of books on machine learning; you could spend a lifetime reading them all. But you don’t have to, because @GGozzoli has listed the 17 best ML books ever published (with a bonus 4 that aren’t out yet but that will be game-changers): blog.floydhub.com/best-machi…
BONUS ENTRY 4:
For readers who want to optimize the human-computer interaction of ML systems:
Human-in-the-Loop Machine Learning by @WWRob







